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An Iterative Least Square Approach to Elastic-Lidar Retrievals for Well-Characterized Aerosols

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3 Author(s)
Marchant, C.C. ; Dept. of Electr. & Comput. Eng., Utah State Univ., Logan, UT, USA ; Moon, T.K. ; Gunther, J.H.

An iterative least square method is presented for estimating the solution to the lidar equation. The method requires knowledge of the backscatter values at a boundary point for all channels and a priori defined relationships between backscatter, extinction, and mass-fraction concentration for all scattering components. The lidar equation is formulated in vector form, and a solution is computed using an iterative least square technique. The solution is stable for signals with extremely low signal-to-noise ratios and for signals at ranges far beyond the boundary point. The solution can be applied to lidar signals with an arbitrary number of wavelengths and scattering components.

Published in:

Geoscience and Remote Sensing, IEEE Transactions on  (Volume:48 ,  Issue: 5 )

Date of Publication:

May 2010

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